Instructions to use IDEAS-Lab-Northwestern/sim2real_mug_pi05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use IDEAS-Lab-Northwestern/sim2real_mug_pi05 with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Add checkpoint manifest
Browse files- checkpoint_manifest.json +33 -0
checkpoint_manifest.json
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{
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"repo_id": "IDEAS-Lab-Northwestern/sim2real_mug_pi05",
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"repo_type": "model",
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"created_or_updated_utc": "2026-05-02T20:30:16.604204+00:00",
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"source_git_commit": "650c5b0283a49c42784fb5055a0507da2c6d347d",
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"train_config_name": "pi05_clutter_libero_lora",
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"experiment_name": "sim2real_mug_from_sim_table_25000_30k",
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"dataset_repo_id": "IDEAS-Lab-Northwestern/sim2real-mug-into-bowl",
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"checkpoint_base_path": "checkpoints/pi05_clutter_libero_lora/sim2real_mug_from_sim_table_25000_30k",
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"checkpoints": [
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{
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"step": 30000,
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"path": "checkpoints/pi05_clutter_libero_lora/sim2real_mug_from_sim_table_25000_30k/30000",
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"local_source": "/lambda/nfs/sentinel-sft/openpi/checkpoints/pi05_clutter_libero_lora/sim2real_mug_from_sim_table_25000_30k/30000",
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"size": "8.9G",
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"files": 27,
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"upload_status": "uploaded",
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"notes": "Final checkpoint for sim2real mug-into-bowl SFT resumed from sim_table_lora/25000 and trained to step 30000."
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}
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],
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"model": {
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"family": "pi0.5",
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"action_dim": 32,
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"action_horizon": 16,
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"training_style": "LoRA SFT"
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},
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"training": {
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"num_train_steps": 30001,
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"final_saved_step": 30000,
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"batch_size": 4,
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"resume_checkpoint": "/lambda/nfs/sentinel-sft/openpi/checkpoints/pi05_clutter_libero_lora/sim_table_lora/25000/params"
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}
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}
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